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Performance problems diagnosis in cloud computing systems by mining request trace logs

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6 Author(s)
Haibo Mi ; National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China ; Huaimin Wang ; Gang Yin ; Hua Cai
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In cloud computing systems, end-to-end request tracing approach is helpful for developers to understand the runtime behavior of user requests. Based on trace logs, we propose an approach to localize the abnormal methods that are the primary causes of performance problems. Our approach involves three steps: (1) cluster the user requests into different categories according to request call sequences and select major categories; (2) extract the principal methods that might be the causes of performance degradation; (3) pick out abnormal methods from those principal methods in each major category. We conduct four cases of performance degradations to validate our approach over a real-world enterprise-class cloud computing platform. The experimental results show that our approach can locate the prime causes of performance problems with low false-positive rate and false-negative rate.

Published in:

2012 IEEE Network Operations and Management Symposium

Date of Conference:

16-20 April 2012